Pina Marotta

908 total citations
21 papers, 480 citations indexed

About

Pina Marotta is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Pina Marotta has authored 21 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Surgery and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Pina Marotta's work include Congenital heart defects research (6 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Diatoms and Algae Research (3 papers). Pina Marotta is often cited by papers focused on Congenital heart defects research (6 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Diatoms and Algae Research (3 papers). Pina Marotta collaborates with scholars based in Italy, United States and Japan. Pina Marotta's co-authors include Laura Cerchia, Diana Passaro, Andrea Affuso, Gerolama Condorelli, Vittorio de Franciscis, Carla Lucia Esposito, Iolanda Aquila, Daniele Torella, Michele Torella and Eleonora Cianflone and has published in prestigious journals such as PLoS ONE, Diabetes and Scientific Reports.

In The Last Decade

Pina Marotta

21 papers receiving 476 citations

Peers

Pina Marotta
Comparison fields: 5 of 79
  • Molecular Biology 354
  • Surgery 87
  • Cancer Research 60
  • Biomaterials 58
  • Cardiology and Cardiovascular Medicine 44
Replace Li Qin with:
Li Qin China
Han Zhu China
Tobias Linden Germany
Jeong‐Jae Ko South Korea
Bhola Shankar Pradhan India
Marjorie Fanjul France
Anandarup Gupta United States
Ya Tian United Kingdom
Mathieu Fortier France
Sébastien Pyr dit Ruys Belgium
Li Qin China View profile →
Citations per field, relative to Pina Marotta
Pina Marotta · 1×
Citations per year, relative to Pina Marotta
Pina Marotta · 1×

Countries citing papers authored by Pina Marotta

Since Specialization
Citations

This map shows the geographic impact of Pina Marotta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pina Marotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pina Marotta more than expected).

Fields of papers citing papers by Pina Marotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pina Marotta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pina Marotta. The network helps show where Pina Marotta may publish in the future.

Co-authorship network of co-authors of Pina Marotta

This figure shows the co-authorship network connecting the top 25 collaborators of Pina Marotta. A scholar is included among the top collaborators of Pina Marotta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pina Marotta. Pina Marotta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 14
3 4
4 6
5 10
6 1
7 4
8 19
9 12
10 22
11 28
12 20
13 12
14 17
15 15
16 21
17 19
18 151
19 49
20 2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026